Woven Natural Fibre Reinforced Composite Materials for Medical Imaging.

X-Ray magnetic resonance imaging medical imaging natural fibre composite radiotherapy woven

Journal

Materials (Basel, Switzerland)
ISSN: 1996-1944
Titre abrégé: Materials (Basel)
Pays: Switzerland
ID NLM: 101555929

Informations de publication

Date de publication:
04 Apr 2020
Historique:
received: 07 03 2020
revised: 31 03 2020
accepted: 01 04 2020
entrez: 9 4 2020
pubmed: 9 4 2020
medline: 9 4 2020
Statut: epublish

Résumé

Repeatable patient positioning is key to minimising the burden on planning radiotherapy treatment. There are very few materials commercially available which are suitable for use in all common imaging and treatment modalities such as magnetic resonance imaging (MRI), X-Ray computed tomography (CT) and radiotherapy. In this article, we present several such materials based on woven natural fibres embedded in a range of different resin materials which are suitable for such applications. By investigating a range of resins and natural fibre materials in combination and evaluating their performance in terms of MRI and X-Ray imaging, we show that a woven cotton material impregnated with a two-part epoxy resin provides a 15% improvement in passage of X-Rays and has no impact on the MRI signal (unlike the 40% MRI signal attenuation from carbon fibre), whilst also retaining a flexural modulus up to 71% of that of carbon fibre. These results demonstrate that natural fibre composites produced using such materials provide desirable properties for use in patient support and positioning devices for multi-modal imaging, without the need to significantly compromise on the strength of the material.

Identifiants

pubmed: 32260351
pii: ma13071684
doi: 10.3390/ma13071684
pmc: PMC7178646
pii:
doi:

Types de publication

Journal Article

Langues

eng

Références

Biomed Res Int. 2014;2014:231090
pubmed: 24812609
Br J Radiol. 2016 Jun;89(1062):20160108
pubmed: 27033180
Polymers (Basel). 2018 Jun 03;10(6):
pubmed: 30966642
J Dent. 2019 Jul;86:102-109
pubmed: 31181242

Auteurs

Robert H Morris (RH)

School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK.

Nicasio R Geraldi (NR)

School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK.

Johanna L Stafford (JL)

School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK.

Abi Spicer (A)

School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK.

James Hall (J)

School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK.

Christopher Bradley (C)

Faculty of Science, University of Nottingham, Nottingham NG7 2RD, UK.

Michael I Newton (MI)

School of Science and Technology, Nottingham Trent University, Nottingham NG11 8NS, UK.

Classifications MeSH